Estimation of Pico-Satellite Attitude Dynamics and External Torques via Unscented Kalman Filter
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Aerospace Technology and Management (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462014000200149 |
Resumo: | ABSTRACT: In this study, an Unscented Kalman Filter (UKF) algorithm is designed for estimating the attitude of a pico-satellite and the in-orbit external disturbance torques. The estimation vector is formed by the satellite's attitude, angular rates, and the unknown constant components of the external disturbance torques acting on the satellite. The gravity gradient torque, residual magnetic moment, sun radiation pressure and aerodynamic drag are all included in the estimated external disturbance torque vector. The satellite has magnetometers and gyros onboard as the attitude sensors. Because of the inherent nonlinear dynamics and the nonlinear measurement model, the UKF, which is a nonlinear version of the Kalman Filter, is selected as the filter algorithm. Performance of the proposed algorithm is demonstrated via simulations for a cube pico-satellite and the results are analyzed for different scenarios. |
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Estimation of Pico-Satellite Attitude Dynamics and External Torques via Unscented Kalman FilterPico-satelliteAttitude estimationUnscented Kalman filterDisturbance torquesABSTRACT: In this study, an Unscented Kalman Filter (UKF) algorithm is designed for estimating the attitude of a pico-satellite and the in-orbit external disturbance torques. The estimation vector is formed by the satellite's attitude, angular rates, and the unknown constant components of the external disturbance torques acting on the satellite. The gravity gradient torque, residual magnetic moment, sun radiation pressure and aerodynamic drag are all included in the estimated external disturbance torque vector. The satellite has magnetometers and gyros onboard as the attitude sensors. Because of the inherent nonlinear dynamics and the nonlinear measurement model, the UKF, which is a nonlinear version of the Kalman Filter, is selected as the filter algorithm. Performance of the proposed algorithm is demonstrated via simulations for a cube pico-satellite and the results are analyzed for different scenarios.Departamento de Ciência e Tecnologia Aeroespacial2014-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462014000200149Journal of Aerospace Technology and Management v.6 n.2 2014reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.5028/jatm.v6i2.352info:eu-repo/semantics/openAccessSöken,Halil ErsinHajiyev,Chingizeng2017-05-26T00:00:00Zoai:scielo:S2175-91462014000200149Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2017-05-26T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false |
dc.title.none.fl_str_mv |
Estimation of Pico-Satellite Attitude Dynamics and External Torques via Unscented Kalman Filter |
title |
Estimation of Pico-Satellite Attitude Dynamics and External Torques via Unscented Kalman Filter |
spellingShingle |
Estimation of Pico-Satellite Attitude Dynamics and External Torques via Unscented Kalman Filter Söken,Halil Ersin Pico-satellite Attitude estimation Unscented Kalman filter Disturbance torques |
title_short |
Estimation of Pico-Satellite Attitude Dynamics and External Torques via Unscented Kalman Filter |
title_full |
Estimation of Pico-Satellite Attitude Dynamics and External Torques via Unscented Kalman Filter |
title_fullStr |
Estimation of Pico-Satellite Attitude Dynamics and External Torques via Unscented Kalman Filter |
title_full_unstemmed |
Estimation of Pico-Satellite Attitude Dynamics and External Torques via Unscented Kalman Filter |
title_sort |
Estimation of Pico-Satellite Attitude Dynamics and External Torques via Unscented Kalman Filter |
author |
Söken,Halil Ersin |
author_facet |
Söken,Halil Ersin Hajiyev,Chingiz |
author_role |
author |
author2 |
Hajiyev,Chingiz |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Söken,Halil Ersin Hajiyev,Chingiz |
dc.subject.por.fl_str_mv |
Pico-satellite Attitude estimation Unscented Kalman filter Disturbance torques |
topic |
Pico-satellite Attitude estimation Unscented Kalman filter Disturbance torques |
description |
ABSTRACT: In this study, an Unscented Kalman Filter (UKF) algorithm is designed for estimating the attitude of a pico-satellite and the in-orbit external disturbance torques. The estimation vector is formed by the satellite's attitude, angular rates, and the unknown constant components of the external disturbance torques acting on the satellite. The gravity gradient torque, residual magnetic moment, sun radiation pressure and aerodynamic drag are all included in the estimated external disturbance torque vector. The satellite has magnetometers and gyros onboard as the attitude sensors. Because of the inherent nonlinear dynamics and the nonlinear measurement model, the UKF, which is a nonlinear version of the Kalman Filter, is selected as the filter algorithm. Performance of the proposed algorithm is demonstrated via simulations for a cube pico-satellite and the results are analyzed for different scenarios. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462014000200149 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462014000200149 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5028/jatm.v6i2.352 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Departamento de Ciência e Tecnologia Aeroespacial |
publisher.none.fl_str_mv |
Departamento de Ciência e Tecnologia Aeroespacial |
dc.source.none.fl_str_mv |
Journal of Aerospace Technology and Management v.6 n.2 2014 reponame:Journal of Aerospace Technology and Management (Online) instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA) instacron:DCTA |
instname_str |
Departamento de Ciência e Tecnologia Aeroespacial (DCTA) |
instacron_str |
DCTA |
institution |
DCTA |
reponame_str |
Journal of Aerospace Technology and Management (Online) |
collection |
Journal of Aerospace Technology and Management (Online) |
repository.name.fl_str_mv |
Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA) |
repository.mail.fl_str_mv |
||secretary@jatm.com.br |
_version_ |
1754732530867634176 |